diff options
Diffstat (limited to 'tests/validation/fixtures/dynamic_fusion/gpu/cl/ElementwiseBinaryFixture.h')
-rw-r--r-- | tests/validation/fixtures/dynamic_fusion/gpu/cl/ElementwiseBinaryFixture.h | 124 |
1 files changed, 73 insertions, 51 deletions
diff --git a/tests/validation/fixtures/dynamic_fusion/gpu/cl/ElementwiseBinaryFixture.h b/tests/validation/fixtures/dynamic_fusion/gpu/cl/ElementwiseBinaryFixture.h index 567322f181..69bd0efbdc 100644 --- a/tests/validation/fixtures/dynamic_fusion/gpu/cl/ElementwiseBinaryFixture.h +++ b/tests/validation/fixtures/dynamic_fusion/gpu/cl/ElementwiseBinaryFixture.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2022-2023 Arm Limited. + * Copyright (c) 2022-2024 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -21,8 +21,8 @@ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ -#ifndef TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_GPU_CL_ELEMENTWISEBINARYFIXTURE -#define TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_GPU_CL_ELEMENTWISEBINARYFIXTURE +#ifndef ACL_TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_GPU_CL_ELEMENTWISEBINARYFIXTURE_H +#define ACL_TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_GPU_CL_ELEMENTWISEBINARYFIXTURE_H #include "arm_compute/core/CL/CLKernelLibrary.h" #include "arm_compute/core/TensorInfo.h" @@ -47,9 +47,15 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ class DynamicFusionGpuElementwiseBinaryValidationGenericFixture : public framework::Fixture { public: - void setup(ArithmeticOperation ref_op, const TensorShape &shape0, const TensorShape &shape1, const TensorShape &shape2, DataType data_type, bool is_inplace, bool fuse_two_ops = false) + void setup(ArithmeticOperation ref_op, + const TensorShape &shape0, + const TensorShape &shape1, + const TensorShape &shape2, + DataType data_type, + bool is_inplace, + bool fuse_two_ops = false) { - _ref_op = ref_op; + _ref_op = ref_op; _is_inplace = is_inplace; _data_type = data_type; _fuse = fuse_two_ops; @@ -63,12 +69,12 @@ protected: template <typename U> void fill(U &&tensor, int i) { - if(is_data_type_float(tensor.data_type())) + if (is_data_type_float(tensor.data_type())) { - switch(_ref_op) + switch (_ref_op) { case ArithmeticOperation::DIV: - library->fill_tensor_uniform_ranged(tensor, i, { std::pair<float, float>(-0.001f, 0.001f) }); + library->fill_tensor_uniform_ranged(tensor, i, {std::pair<float, float>(-0.001f, 0.001f)}); break; case ArithmeticOperation::POWER: library->fill_tensor_uniform(tensor, i, 0.0f, 5.0f); @@ -77,12 +83,12 @@ protected: library->fill_tensor_uniform(tensor, i); } } - else if(tensor.data_type() == DataType::S32) + else if (tensor.data_type() == DataType::S32) { - switch(_ref_op) + switch (_ref_op) { case ArithmeticOperation::DIV: - library->fill_tensor_uniform_ranged(tensor, i, { std::pair<int32_t, int32_t>(-1U, 1U) }); + library->fill_tensor_uniform_ranged(tensor, i, {std::pair<int32_t, int32_t>(-1U, 1U)}); break; default: library->fill_tensor_uniform(tensor, i); @@ -98,27 +104,27 @@ protected: { // Create a new workload sketch auto cl_compile_ctx = CLKernelLibrary::get().get_compile_context(); - auto context = GpuWorkloadContext{ &cl_compile_ctx }; - GpuWorkloadSketch sketch{ &context }; + auto context = GpuWorkloadContext{&cl_compile_ctx}; + GpuWorkloadSketch sketch{&context}; // Fuse first element wise binary Op - TensorInfo lhs_info = context.create_tensor_info(TensorInfo(shape0, 1, _data_type)); - TensorInfo rhs_info = context.create_tensor_info(TensorInfo(shape1, 1, _data_type)); - TensorInfo dst_info = context.create_tensor_info(); + ITensorInfo *lhs_info = context.create_tensor_info(TensorInfo(shape0, 1, _data_type)); + ITensorInfo *rhs_info = context.create_tensor_info(TensorInfo(shape1, 1, _data_type)); + ITensorInfo *dst_info = context.create_tensor_info(); - TensorInfo rhs_info_fuse; + ITensorInfo *rhs_info_fuse = nullptr; - ITensorInfo *ans_info = FunctionType::create_op(sketch, &lhs_info, &rhs_info); + ITensorInfo *ans_info = FunctionType::create_op(sketch, lhs_info, rhs_info); - if(_fuse) + if (_fuse) { rhs_info_fuse = context.create_tensor_info(TensorInfo(shape2, 1, _data_type)); - ITensorInfo *ans2_info = FunctionType::create_op(sketch, ans_info, &rhs_info_fuse); - GpuOutput::create_op(sketch, ans2_info, &dst_info); + ITensorInfo *ans2_info = FunctionType::create_op(sketch, ans_info, rhs_info_fuse); + GpuOutput::create_op(sketch, ans2_info, dst_info); } else { - GpuOutput::create_op(sketch, ans_info, &dst_info); + GpuOutput::create_op(sketch, ans_info, dst_info); } // Configure runtime @@ -126,7 +132,7 @@ protected: runtime.configure(sketch); // (Important) Allocate auxiliary tensor memory if there are any - for(auto &data : runtime.get_auxiliary_tensors()) + for (auto &data : runtime.get_auxiliary_tensors()) { CLTensor *tensor = std::get<0>(data); TensorInfo info = std::get<1>(data); @@ -142,12 +148,12 @@ protected: TensorType t_dst{}; // Initialize user tensors - t_lhs.allocator()->init(lhs_info); - t_rhs.allocator()->init(rhs_info); - t_dst.allocator()->init(dst_info); - if(_fuse) + t_lhs.allocator()->init(*lhs_info); + t_rhs.allocator()->init(*rhs_info); + t_dst.allocator()->init(*dst_info); + if (_fuse) { - t_rhs_fuse.allocator()->init(rhs_info_fuse); + t_rhs_fuse.allocator()->init(*rhs_info_fuse); } // Allocate and fill user tensors @@ -155,26 +161,26 @@ protected: t_lhs.allocator()->allocate(); t_rhs.allocator()->allocate(); t_dst.allocator()->allocate(); - if(_fuse) + if (_fuse) { t_rhs_fuse.allocator()->allocate(); } fill(AccessorType(t_lhs), 0); fill(AccessorType(t_rhs), 1); - if(_fuse) + if (_fuse) { fill(AccessorType(t_rhs_fuse), 2); } // Run runtime - if(_fuse) + if (_fuse) { - runtime.run({ &t_lhs, &t_rhs, &t_rhs_fuse, &t_dst }); + runtime.run({&t_lhs, &t_rhs, &t_rhs_fuse, &t_dst}); } else { - runtime.run({ &t_lhs, &t_rhs, &t_dst }); + runtime.run({&t_lhs, &t_rhs, &t_dst}); } return t_dst; @@ -186,18 +192,18 @@ protected: const TensorShape out_shape_fuse = TensorShape::broadcast_shape(out_shape, shape1); // Create reference - SimpleTensor<T> ref_lhs{ shape0, _data_type, 1, QuantizationInfo() }; - SimpleTensor<T> ref_rhs{ shape1, _data_type, 1, QuantizationInfo() }; - SimpleTensor<T> ref_rhs_fuse{ shape2, _data_type, 1, QuantizationInfo() }; - SimpleTensor<T> ref_dst{ out_shape, _data_type, 1, QuantizationInfo() }; - SimpleTensor<T> ref_dst_fuse{ out_shape_fuse, _data_type, 1, QuantizationInfo() }; + SimpleTensor<T> ref_lhs{shape0, _data_type, 1, QuantizationInfo()}; + SimpleTensor<T> ref_rhs{shape1, _data_type, 1, QuantizationInfo()}; + SimpleTensor<T> ref_rhs_fuse{shape2, _data_type, 1, QuantizationInfo()}; + SimpleTensor<T> ref_dst{out_shape, _data_type, 1, QuantizationInfo()}; + SimpleTensor<T> ref_dst_fuse{out_shape_fuse, _data_type, 1, QuantizationInfo()}; // Fill reference fill(ref_lhs, 0); fill(ref_rhs, 1); reference::arithmetic_operation<T>(_ref_op, ref_lhs, ref_rhs, ref_dst, ConvertPolicy::WRAP); - if(_fuse) + if (_fuse) { fill(ref_rhs_fuse, 2); reference::arithmetic_operation<T>(_ref_op, ref_dst, ref_rhs_fuse, ref_dst_fuse, ConvertPolicy::WRAP); @@ -206,46 +212,62 @@ protected: return *ret; } - ArithmeticOperation _ref_op{ ArithmeticOperation::ADD }; + ArithmeticOperation _ref_op{ArithmeticOperation::ADD}; TensorType _target{}; SimpleTensor<T> _reference{}; DataType _data_type{}; DataLayout _data_layout{}; - bool _is_inplace{ false }; - bool _fuse{ false }; + bool _is_inplace{false}; + bool _fuse{false}; }; template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class DynamicFusionGpuElementwiseBinaryOneOpValidationFixture : public DynamicFusionGpuElementwiseBinaryValidationGenericFixture<TensorType, AccessorType, FunctionType, T> +class DynamicFusionGpuElementwiseBinaryOneOpValidationFixture + : public DynamicFusionGpuElementwiseBinaryValidationGenericFixture<TensorType, AccessorType, FunctionType, T> { public: void setup(ArithmeticOperation ref_op, const TensorShape &shape0, DataType data_type, bool is_inplace) { - DynamicFusionGpuElementwiseBinaryValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ref_op, shape0, shape0, TensorShape(), data_type, is_inplace); + DynamicFusionGpuElementwiseBinaryValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup( + ref_op, shape0, shape0, TensorShape(), data_type, is_inplace); } }; template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class DynamicFusionGpuElementwiseBinaryBroadcastOneOpValidationFixture : public DynamicFusionGpuElementwiseBinaryValidationGenericFixture<TensorType, AccessorType, FunctionType, T> +class DynamicFusionGpuElementwiseBinaryBroadcastOneOpValidationFixture + : public DynamicFusionGpuElementwiseBinaryValidationGenericFixture<TensorType, AccessorType, FunctionType, T> { public: - void setup(ArithmeticOperation ref_op, const TensorShape &shape0, const TensorShape &shape1, DataType data_type, bool is_inplace) + void setup(ArithmeticOperation ref_op, + const TensorShape &shape0, + const TensorShape &shape1, + DataType data_type, + bool is_inplace) { - DynamicFusionGpuElementwiseBinaryValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ref_op, shape0, shape1, TensorShape(), data_type, is_inplace); + DynamicFusionGpuElementwiseBinaryValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup( + ref_op, shape0, shape1, TensorShape(), data_type, is_inplace); } }; template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class DynamicFusionGpuElementwiseBinaryTwoOpsValidationFixture : public DynamicFusionGpuElementwiseBinaryValidationGenericFixture<TensorType, AccessorType, FunctionType, T> +class DynamicFusionGpuElementwiseBinaryTwoOpsValidationFixture + : public DynamicFusionGpuElementwiseBinaryValidationGenericFixture<TensorType, AccessorType, FunctionType, T> { public: - void setup(ArithmeticOperation ref_op, const TensorShape &shape0, const TensorShape &shape1, const TensorShape &shape2, DataType data_type, bool is_inplace, bool fuse_two_ops) + void setup(ArithmeticOperation ref_op, + const TensorShape &shape0, + const TensorShape &shape1, + const TensorShape &shape2, + DataType data_type, + bool is_inplace, + bool fuse_two_ops) { - DynamicFusionGpuElementwiseBinaryValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ref_op, shape0, shape1, shape2, data_type, is_inplace, fuse_two_ops); + DynamicFusionGpuElementwiseBinaryValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup( + ref_op, shape0, shape1, shape2, data_type, is_inplace, fuse_two_ops); } }; } // namespace validation } // namespace test } // namespace arm_compute -#endif /* TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_GPU_CL_ELEMENTWISEBINARYFIXTURE */ +#endif // ACL_TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_GPU_CL_ELEMENTWISEBINARYFIXTURE_H |